Seeking European partners with expertise in IoT and/or access to data sets to implement Nanoprecise’s niche solution for machine predictive maintenance

As a participant of the upcoming symposium “2nd GCCIR Matchmaking Symposium” organized by Innoget and GCCIR next November 25th, 2019 in Barcelona (Spain), the company Nanoprecise Sci Corp. is seeking European partners to meet at the Barcelona event to develop a joint collaboration project.

Nanoprecise is specifically interested in European partners, including large-end users, system integrators, OEMs, distributors, and EU technology firms, to complement their offering with Nanoprecise’s niche solution for machine predictive maintenance. Further details are described below.

In case you are interested in meeting Nanoprecise Sci Corp. in Barcelona to discuss a potential collaboration, please register for free to the symposium clicking the “Register to the symposium” button above.

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Details of the Technology Call

Nanoprecise has created a “unique” patent-pending solution (hardware + software) that combines physics, material science, and data analytics to diagnose issues with physical assets such as machinery and predicts the “Remaining Time to Failure”.

A seamless IoT network architecture is established at the site using Cell Boosters and Cellular Routers. The sensor is far superior in terms of specs than anything similar available in the market, extracting RPM, vibration, sound, temperature and humidity information, all from one sensor. The wireless sensor measures vibration up to 16000 samples/sec, acoustic emission up to 80,000 samples/sec, and connects to the Internet within 5 minutes after installation. The sensors battery lasts 1-3 years, depending on the update frequency.

The software –which is built on AI algorithm that are only limited to research papers until now- analyzes the data from various sensing elements and achieved anomaly detection, fault characterization and remaining useful life prediction. Further sensor data is transmitted to Nanoprecis’s Cloud where complex machine learning algorithms are used to detect faults or failures in rorating machineries. The fault characterization algorithm detects bearings, shaft, gears vanes and other structural faults with more than 95% accuracy.

The solution can be deployed cost effectively and utilized on the ~70% of machinery that is not monitored today because it has not been economically viable, until now.

The information is presented to the end-user through a user-friendly dashboard on a real-time basis.

Since the foundation of the company in January 2018, Nanoprecise Sci Corp. has worked with customers spanning across the Oil and Gas, Mining, Utilities, HVAC and Infrastructure sectors.

The company is attending the 2nd GCCIR Matchmaking Symposium with the hope to:

• Connect with top tier European enterprises
• Meet and establish relationships with key firms in the industrial applications of AI and IoT sectors
• Develop partnerships and potential R&D projects for potential future co-innovation
• Partner with the system integrators, OEMs or distributors, so as to complement their offering with the company’s niche solution for machine predictive maintenance
• Partner with a large end user who can use the company’s technology on a multitude of assets that they already own
• Explore the feasibility of unique studies that are theoretically possible with the company’s technology
• Foster R&D collaborations and business relationships with EU technology firms in the AI and IoT sectors, including key global customers and end-users

Preferences / Requirements for Potential European Partner(s)

The following are the important aspects Nanoprecise is looking for in a European partner:

• It would be great if the joint technology partner has labs or sample equipment to test Nanoprecise’s technology and validate it
• Companies that have access to large data sets for rotating equipment performance
• Companies that have proven experience in the development of IOT devices and machine learning